Deep Learning Engineer

Software

Santa Cruz, CA, United States

This position involves developing, testing and deploying algorithms for autonomous flight. Specifically, using deep learning techniques for dynamic obstacles detection and terrain classification. The engineer will play a key role in a small, fast-moving team and have input to conceptual system architectural design and implementation of embedded software to ensure safety of an electric-powered, fly-by-wire aircraft.

Engineer Internship Opportunities:This position involves working closely with deep learning engineers to manage, post-process and label data sets used for deep learning. As the engineer gains experience, they will have opportunities to contribute to detection algorithms. The importance of this position should not be underestimated.

Note: Please attach a portfolio highlighting relevant experience to your resume and cover letter. Applications without a cover letter and portfolio (unless one is unavailable due to, e.g., intellectual property constraints) will not be considered.